Open Access Articles
  • Volume 5 (2021)
  • Volume 4 (2020)
  • Volume 3 (2019)
  • Volume 2 (2018)
  • Volume 1 (2017)

Contact Us

Ausasia Science and Technology Press, Australia

Press address: Unit 3/3 Peace St, Box Hill South, Melbourne, Victoria 3128, Australia

Press email:

Press phone: 0421672696

Journal office email:

Our Visitors

412829 visitors Look details

Using proper orthogonal decomposition to solve heat transfer process in a flat tube bank fin heat exchanger

Ye Wang, Xintong Xia, Yi Wang, Liangbi Wang, Wenting Hu

(Published: 2017-12-25)

Corresponding Author and Email:Ye Wang,

Citation:Wang, Y., Xia, X., Wang, Y., et al. Using proper orthogonal decomposition to solve heat transfer process in a flat tube bank fin heat exchanger. Adv. Geo-energ. Res. 2017, 1(3): 158-170, doi: 10.26804/ager.2017.03.03.

Article Type:Original article


Proper orthogonal decomposition (POD) reduced-order model can save computing time by reducing the dimension of physical problems and reconstructing physical fields. It is especially suitable for large-scale complex problems in engineering, such as ground heat utilization, sea energy development, mineral exploitation, multiphase flow and flow and heat transfer with complex structure. In this paper, the POD reduced-order model was used to calculate the heat transfer in a flat tube bank fin heat exchanger. The calculating results of the finite volume method (FVM) were adopted as the snapshot samples. SVD method was used to decompose the samples to obtain a series of bases and corresponding coefficients on sampling conditions. With these coefficients, interpolation method was used to calculate the coefficients on predicting conditions. And the physical field has been reconstructed using the bases and the interpolated coefficients directly. In the calculation of heat transfer unit of flat tube fin heat exchanger, air-side Reynolds number, transverse tube spacing and the fin spacing were chosen as the variables. The results obtained by the POD method are in good agreement with the results calculated by the FVM. Moreover, the POD reduced-order model presented in this paper is more advantageous in comparison with the FVM in terms of accuracy, suitability, and computational speed.

Keywords:Proper orthogonal decomposition (POD), POD reduced-order model, flat tube bank fin heat exchanger, interpolation method, reconstructed temperature field.


Download this Manuscript:PDF

Copyright ©2016. All Rights Reserved